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terraform-operator-remote-controller's Introduction

Terraform Operator Remote Controller

This is another controller that listens to tf resource events. Add and update events will transmit the tf manifest to a TFO-API server.

Usage

Set up the following environment vars for the API server:

CLIENT_NAME=foo-k8s-cluster
TFO_API_PROTOCOL=http
TFO_API_HOST=localhost
TFO_API_PORT=5001
TFO_API_LOGIN_USER=username
TFO_API_LOGIN_PASSWORD=password

Make sure you're connected to a cluster:

KUBECONFIG=~/.kube/config

InCluster configuration is automatically configured when this binary runs in a kubernetes pod.

RBAC

This will require get and list permissions to terraforms resources:

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
 name: tforc
rules:
- apiGroups:
  - tf.galleybytes.com
  resources:
  - terraforms
  verbs:
  - get
  - list

And run the binary or run an in-cluster container:

go run main.go

terraform-operator-remote-controller's People

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terraform-operator-remote-controller's Issues

no retry when a single failure to connect to api occurs

When the controller sees an update event and the API is down, there is no retry.
Here is what error I get

Put "https://localhost:8443/api/v1/cluster/microk8s/sync-dependencies": dial tcp [::1]:8443: connect: connection refused

What should happen is periodically the controller should queue up the task to send it again. Maybe all api requests should be held until the api and respond to a ping.

no retry when a single failure to connect to api occurs

When the controller sees an update event and the API is down, there is no retry.
Here is what error I get

Put "https://localhost:8443/api/v1/cluster/microk8s/sync-dependencies": dial tcp [::1]:8443: connect: connection refused

What should happen is periodically the controller should queue up the task to send it again. Maybe all api requests should be held until the api and respond to a ping.

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